Triple

T38434015

Position	Surface form	Disambiguated ID	Type / Status
Subject	Banu Hanifa	`E903884`	entity
Predicate	hadNotableFigure	`P97477`	FINISHED
Object	Thumama ibn Uthal Thumama ibn Uthal was a prominent 7th-century Arab chieftain who became an early and influential convert to Islam after initially opposing the Prophet Muhammad.	`E2270565`	NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Thumama ibn Uthal | Statement: [Banu Hanifa, hadNotableFigure, Thumama ibn Uthal]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Thumama ibn Uthal
Triple: [Banu Hanifa, hadNotableFigure, Thumama ibn Uthal]

Generated description

Thumama ibn Uthal was a prominent 7th-century Arab chieftain who became an early and influential convert to Islam after initially opposing the Prophet Muhammad.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hadNotableFigure
Context triple: [Banu Hanifa, hadNotableFigure, Thumama ibn Uthal]

A. hasNotablePeople chosen
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
B. hasNotableMilitaryFigure
Indicates that an entity is associated with or distinguished by a specific person recognized for significant military role, rank, or achievements.
C. hasNotableNamesakeContribution
Indicates that an entity has made a significant contribution specifically related to or inspired by its notable namesake.
D. hasNotableStatesman
Indicates that an entity is associated with or distinguished by a prominent political leader or statesman.
E. hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69f76e6a2024819081aa04f4932f89d2`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69fcd313e61c8190b174b331365b803f`	completed	May 7, 2026, 5:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41cca7567c8190988d9361ea86188b`	completed	June 29, 2026, 1:38 a.m.
NEDg	Description generation	`batch_6a41cd65478c8190a2e6b48d8a84a1e4`	completed	June 29, 2026, 1:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41cdf9018c81909d40e3ca43781047`	completed	June 29, 2026, 1:44 a.m.
PD	Predicate disambiguation	`batch_69fcd1f6b2e08190bf0300ae7c9ae67a`	completed	May 7, 2026, 5:55 p.m.

Created at: May 3, 2026, 4:31 p.m.